Pendeteksi Tajwid Idgham  Mutajanisain Pada Citra Al-Qur’an Menggunakan Fuzzy Associative Memory (Fam)

Rizal, Rizal; Bustami, Bustami; Azzahra, Dea; Fadlisyah, Fadlisyah

doi:10.29103/techsi.v11i3.2025

Cited by 3 publications

(4 citation statements)

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“…A color will look darker if it is side by side with a light color and vice versa. Changes in the contrast level can be calculated using Equation ( 3), ( 4) and (5).…”

Section: Hsv Color Model Augmentationmentioning

confidence: 99%

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Tajweed-YOLO: Object Detection Method for Tajweed by Applying HSV Color Model Augmentation on Mushaf Images

Azizah

Fatichah

2023

J. RESTI (Rekayasa Sist. Teknol. Inf.)

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Tajweed is a basic knowledge of learning to read the Al-Qur’an correctly. Tajweed has many laws grouped into several parts so that only some people can memorize and implement Tajweed properly. Therefore, it is necessary to have an automatic detection system to facilitate the recognition of Tajweed, which can be used daily. This study presents Tajweed-YOLO, which applies the HSV color augmentation model to detect Tajweed objects in Mushaf images using YOLO. The contribution to this study was to compare the three versions of You Only Look Once (YOLO), i.e., YOLOv5, YOLOv6, and YOLOv7, and usage of the HSV color model augmentation to improve Tajweed detection performance. Comparing the three YOLO versions aims to solve problems in detecting small objects and recognizing various forms of Mushaf writing fonts in Tajweed detection. Meanwhile, the HSV color model aims to recognize Tajweed objects in various Mushaf and handle minority class problems. In this study, we collected four different Al-Qur’an mushaf with 10 Tajweed classes. The augmentation process can increase the detection performance by up to 85% compared to without augmentation 6th Class (Mad Jaiz Munfashil) using YOLOv6. The comparison of three YOLO versions concluded that YOLOv7 was better than YOLOv5 and YOLOv6, seen in data with augmentation and without augmentation. The evaluation results of mAP0.5 on 17 test data on the YOLOv7, YOLOv6, and YOLOv5 models are 80%, 69%, and 71%, respectively. These results prove that this research model’s results are suitable for the real-time detection of Tajweed.

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“…A color will look darker if it is side by side with a light color and vice versa. Changes in the contrast level can be calculated using Equation ( 3), ( 4) and (5).…”

Section: Hsv Color Model Augmentationmentioning

confidence: 99%

“…The features obtained are calculated for their nearness using Euclidean Distance [4]. Furthermore, [5] identified the Tajweed pattern using the Fuzzy Associative Memory (FAM) method. The average detection result reaches 80% on the Tajweed of Idgham Mutajanisain.…”

Section: Introductionmentioning

confidence: 99%

Tajweed-YOLO: Object Detection Method for Tajweed by Applying HSV Color Model Augmentation on Mushaf Images

Azizah

Fatichah

2023

J. RESTI (Rekayasa Sist. Teknol. Inf.)

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“…Cara membaca Alquran dengan tajwid yang pertama adalah mengetahui hukum tajwid Idgham. Terdapat tiga macam tajwid Idgham berdasarkan makhroj dan sifatnya (Maryana, M., Fadlisyah, F., & Retno, 2017); (Rizal, R., Bustami, B., & Azzahra, 2019)…”

Section: Hukum Tajwid Idghamunclassified

Pendampingan Membaca Al-Qur’an Dengan Tajwid Yang Benar Bagi Masyarakat Disekitar Lingkungan Kampus

Akbar

2022

BUDIMAS

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Kegiatan pengabdian kepada masyarakat ini dengan tujuan memberikan pendampingan membaca al-Qur’an dengan tajwid yang benar bagi masyarakat disekitar kampus Sekolah Tinggi Ilmu Ekonomi Swasta Mandiri. Dimana dalam pengabdian ini dikhususkan bagi ibu-ibu disekitar kampus yang selama ini menjadi binaan. Kegiatan pengabdian ini merupakan tindak lanjut atas program kerja LPPM STIE Swasta Mandiri yang bekerjasama dengan berbagai elemen masyarakat sebagai wujud pelaksanaan tri dharma perguruan tinggi. Metode pelaksanaan pengabdian ini dilakukan dengan tutorial penyampaian materi-materi terkait masalah ilmu tajwid yang dilanjutkan dengan praktek membaca al-qur’an secara secara langsung oleh para peserta pengabdian. Waktu pelaksanaan pengabdian masyarakat ini yaitu semester genap 2021/2022 sebanyak dua kali pertemuan tepatnya pada hari Senin, 14 Maret 2022 dan Senin, 21 Maret 2022. Tempat pelaksanaan pengabdian di ruang pengembangan karier kampus STIE Swasta Mandiri. Hasil pengabdian ini menunjukkan bahwa dengan adanya pendampingan membaca al-Qur’an dengan tajwid yang benar bagi masyarakat disekitar kampus Sekolah Tinggi Ilmu Ekonomi Swasta Mandiri, menjadikan para peserta memahami bahwasanya pentingnya ilmu tajwid dalam membaca al-Qur’an sebagai salah satu syarat agar mampu membaca dengan benar. Para peserta pengabdian memiliki pemahaman ilmu tajwid yang semakin baik setelah mengikuti program pendampingan yang telah terlaksana.

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“…Membaca Al-Qur'an dengan baik dan benar merupakan salah satu ilmu yang sangat penting, yang harus dimiliki oleh umat muslim sejak usia dini sebagai dasar sebelum mempelajari ilmu-ilmu lainnya. Al-Qur'an yang berisikan 30 macam huruf hijaiyah dan firman Allah ini dijadikan pedoman hidup bagi kaum muslim di seluruh dunia, oleh karena itu ilmu tajwid sangat di perlukan untuk membaca Al-Qur'an dengan baik dan benar (Rizal, Bustami, & Azzahra, 2019). Ilmu Tajwid adalah dasar untuk membaca Al-Quran yang baik dan benar, dan merupakan ilmu yang mempelajari tatacara pengucapan huruf-huruf yang terdapat dalam kitab suci Al-Qur'an (Maarif et al, 2018).…”

Section: Pendahuluanunclassified

Desain Game Edukasi Ilmu Tajwid Bagi Anak Usia Dini menggunakan Pemodelan Finite State Automata

Yanto¹,

Ismunandar

Erni

et al. 2021

Edumatic

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This study discusses how Finite State Automata (FSA) can be used as a model to design a Tajweed Science game application as a business diagram. This study aims to facilitate early childhood in learning the science of recitation by grouping hijaiyah letters into grouping the science of recitation by using a touch of the hand. The type of automata theory used is a non-deterministic finite automata with epsilon transition (E) or better known as E-NFA. Each transition, input, state that exists from the NFA, is basically to show the characteristics or states that occur in a game application. The importance of this research, in addition to learning recitation from an early age, is to show that automata theory can be used to help design a system in making game applications. The results of this Tajweed Science game application design are a rough display because there will still be further development stages and can ensure that game applications can be built from E-NFA modeling.

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Pendeteksi Tajwid Idgham Mutajanisain Pada Citra Al-Qur’an Menggunakan Fuzzy Associative Memory (Fam)

Cited by 3 publications

References 0 publications

Tajweed-YOLO: Object Detection Method for Tajweed by Applying HSV Color Model Augmentation on Mushaf Images

Tajweed-YOLO: Object Detection Method for Tajweed by Applying HSV Color Model Augmentation on Mushaf Images

Pendampingan Membaca Al-Qur’an Dengan Tajwid Yang Benar Bagi Masyarakat Disekitar Lingkungan Kampus

Desain Game Edukasi Ilmu Tajwid Bagi Anak Usia Dini menggunakan Pemodelan Finite State Automata

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